Resident Population by Place of Birth, Ethnic Group and Sex (Census of Population 2020)
What this data shows
Published by Singapore Department of Statistics. 12 records. Fields include Number, (Total) Total, (Total) Males, (Total) Females (16 columns in total). Last updated 2026-09-05.
Description
Understand birthplace composition among Singapore residents from the Census of Population 2020 by ethnic group and sex. The Singapore Department of Statistics release reports population counts for Chinese, Malay, Indian, and other groups, supporting migration history, diversity, and identity research in Singapore.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 16/06/2021 Update Frequency: 10 years Survey period: Census of Population 2020 Adapted from: https://tablebuilder.singstat.gov.sg/table/CT/17402
- Last updated
- Rows
- 12
- Columns
- 16
Chart
Values are summed where multiple rows share the same category.
Data
| Number | (Total) Total | (Total) Males | (Total) Females | (Chinese) Total | (Chinese) Males | (Chinese) Females | (Malays) Total | (Malays) Males | (Malays) Females | (Indians) Total | (Indians) Males |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 4044210.000000 | 1977556.000000 | 2066654.000000 | 3006769.000000 | 1461344.000000 | 1545425.000000 | 545498.000000 | 271332.000000 | 274166.000000 | 362274.000000 | 185565.000000 |
| Singapore | 3096630.000000 | 1570296.000000 | 1526334.000000 | 2323465.000000 | 1177958.000000 | 1145507.000000 | 512222.000000 | 260208.000000 | 252014.000000 | 216884.000000 | 110007.000000 |
| Outside Singapore | 947580.000000 | 407260.000000 | 540320.000000 | 683304.000000 | 283386.000000 | 399918.000000 | 33276.000000 | 11124.000000 | 22152.000000 | 145390.000000 | 75558.000000 |
| Malaysia | 459732.000000 | 197816.000000 | 261916.000000 | 415594.000000 | 178443.000000 | 237151.000000 | 20760.000000 | 7882.000000 | 12878.000000 | 21589.000000 | 10690.000000 |
| Mainland China | 169038.000000 | 64728.000000 | 104310.000000 | 168670.000000 | 64587.000000 | 104083.000000 | 6.000000 | 1.000000 | 5.000000 | 44.000000 | 25.000000 |
| India | 111865.000000 | 58824.000000 | 53041.000000 | 123.000000 | 54.000000 | 69.000000 | 18.000000 | 8.000000 | 10.000000 | 111371.000000 | 58582.000000 |
| Indonesia | 56141.000000 | 18626.000000 | 37515.000000 | 43973.000000 | 15636.000000 | 28337.000000 | 11093.000000 | 2607.000000 | 8486.000000 | 626.000000 | 235.000000 |
| Other Asian Countries / Regions | 113662.000000 | 45752.000000 | 67910.000000 | 41495.000000 | 18335.000000 | 23160.000000 | 726.000000 | 342.000000 | 384.000000 | 8971.000000 | 4798.000000 |
| Europe | 17207.000000 | 11089.000000 | 6118.000000 | 3122.000000 | 1565.000000 | 1557.000000 | 119.000000 | 55.000000 | 64.000000 | 977.000000 | 449.000000 |
| USA and Canada | 8788.000000 | 4643.000000 | 4145.000000 | 4780.000000 | 2224.000000 | 2556.000000 | 82.000000 | 44.000000 | 38.000000 | 807.000000 | 312.000000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Number | Text | No |
| (Total) Total | Numeric | No |
| (Total) Males | Numeric | No |
| (Total) Females | Numeric | No |
| (Chinese) Total | Numeric | No |
| (Chinese) Males | Numeric | No |
| (Chinese) Females | Numeric | No |
| (Malays) Total | Numeric | No |
| (Malays) Males | Numeric | No |
| (Malays) Females | Numeric | No |
| (Indians) Total | Numeric | No |
| (Indians) Males | Numeric | No |
| (Indians) Females | Numeric | No |
| (Others) Total | Numeric | No |
| (Others) Males | Numeric | No |
| (Others) Females | Numeric | No |